At a Glance
- Tasks: Transform messy real estate data into actionable insights for AI and clients.
- Company: Join BuildAI, a pioneering tech firm revolutionising the built world with AI.
- Benefits: Enjoy radical autonomy, generous equity, and an accelerated career path.
- Other info: Be part of a culture that values intensity, fun, and extraordinary experiences.
- Why this job: Shape the future of real estate while working with elite teammates in a dynamic environment.
- Qualifications: Experience in data engineering or data science, with a passion for the built world.
The predicted salary is between 63000 - 77000 £ per year.
About BuildAI for the Built World: Build has created the agentic AI stack for institutional real estate, automating complex development and acquisitions workflows 90% faster than humans to accelerate the world's most important built projects - digital infrastructure, energy, industrial - from concept to completion. Our mission is to accelerate and amplify the world's most important built projects - inventing a better way to build through a collaboration between human experts and agentic AI. We envision a future where the world's buildings are driven from concept to completion, autonomously. Without delays, cost, and complexity. Enabling people to deliver a magnitude more deals. To make decisions, build relationships and create.
To start, we're partnering with the world's biggest built world institutions from $T alternative assets investors, prolific developers and even governments to push the frontier of what's possible. We're backed by c-suite from Blackstone and OpenAI alongside the world's best venture capital firms. Join us in shaping the future of the Built World and exponentially accelerate your career in the process. We welcome you to do your life's work here.
About the role: A database gives you information. Build should tell you what it means and what to do next. Every site Build validates - power capacity, energisation date, zoning, title, comparables - depends on pulling together data that lives in hundreds of fragmented sources: parcel and title records, planning and zoning portals, grid and utility data, transaction comps, geospatial layers. This role owns turning that mess into a single, trusted picture of every site and asset, and building the intelligence that sits on top of it.
You'll work alongside our geospatial team and our domain experts to decide which sources matter, connect and cross-reference them, catch inconsistencies and hidden assumptions, and turn the result into answers our AI and our clients can act on.
What you will own:
- The real estate data layer: ingesting, cleaning, linking and cross-referencing property, land, power, planning and market data sources into one record per site and asset.
- Entity resolution and data quality: matching parcels, owners, titles and addresses across sources, and flagging conflicts and gaps before they reach a decision.
- The intelligence on top: comps selection, valuation and NOI inputs, distress and pricing-gap signals, and risk and red-flag detection that our AI workflows and experts use.
- New sources: finding, evaluating and onboarding the data that makes Build's site validation faster and more accurate than anyone else's.
- The speed, reliability and coverage of all of the above as Build expands into new markets.
Who this might be:
- A data engineer or data scientist at a real estate data company who has stitched together property records at scale.
- An engineer on a research, analytics or data team at a brokerage, investor or advisory firm who wants to build rather than report.
- A geospatial or ML engineer who has built valuation or site selection models on messy real-world data.
- Typically a CS, data engineering or similarly technical background, with a few years of experience and a real curiosity about how the built world gets valued and built.
How to win at Build:
- Growing Build requires a radically different approach to company building. As a company we're focused on one outcome: winning. That means we move fast, work with intensity, and demand excellence from ourselves.
- Performance and teamwork are the core of Build's operation. We look for those who are able to do both, who often exhibit a particular ability for:
- Velocity: You are relentless in asking the right questions to set direction. Once you find the right direction you go all-in.
- Excellence: You obsess with being the best. For you, excellence is a non-negotiable standard rather than an aspiration.
- Long time horizons: You choose to be in something for the long run, because that's where most of the returns are realized.
- Ownership: You take full ownership of the outcomes. You're meticulous in your pursuits and believe you can actively shape your environment rather than adapt to it.
- Customers: You have a passion for the built world and those who shape it. You probably have a quirky hobby or story that relates to your love for building.
- Integrity: You chose to do the right thing even when it isn't easy.
- Trust: You only work with people you can trust because it's the only way to do truly extraordinary things.
- Yield: You have a burning need to see a result on every action you take and you're always looking for routes to do more with less.
What we offer:
- Radical autonomy, real ownership: High standards. Minimal bureaucracy. You own problems end-to-end, choose how the work gets done, and are accountable for exceptional outcomes. Ownership is matched with meaningful, generous equity.
- An accelerated founder's track: Build is for builders. If you want to learn what it actually takes to create a generational company - Product judgment, execution speed, and accountability - there is no faster path than building from zero when everything is for grabs.
- Elite teammates, uncompromising bar: You work with people who think clearly, execute relentlessly, and take full ownership. The team you build becomes the company you build. Growth here is not just professional; it reshapes how you operate and in return how Build operates.
- Perpetual adventure: We attract the strongest of the strange. Extraordinary experiences are part of the culture - from the food we eat together to the space we occupy. Intensity is intentional.
- Shape the built world: We are rebuilding how the physical world gets made. Our software doesn't live in the abstract - it turns into real projects breaking ground because we exist. We work with the largest institutions, push the frontier of AI, and watch our decisions translate directly into the world around us.
Real Estate Data & Intelligence Engineer employer: Build Technologies
Build is an exceptional employer that offers radical autonomy and real ownership, allowing you to tackle challenges end-to-end with minimal bureaucracy. Our vibrant work culture fosters collaboration among elite teammates who are committed to excellence, while providing unparalleled growth opportunities as you shape the future of the built world alongside industry leaders. Join us in a perpetual adventure where your contributions directly impact significant projects, all while enjoying a fun and intense environment that celebrates innovation and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Real Estate Data & Intelligence Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Build Technologies!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Real Estate Data & Intelligence Engineer at Build Technologies.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Build Technologies.
✨Apply Directly through Our Website
When you find a suitable opening like Real Estate Data & Intelligence Engineer at Build Technologies, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Real Estate Data & Intelligence Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Build Technologies, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Build Technologies. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Build Technologies
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Build Technologies!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.